Abstract
Several classes of simulators have been designed in the military domain for training and operational analysis. Joint Operations Simulation System (JOpsSS) is a virtual warfare analysis system that has been developed for planning, operational analysis and evaluating joint operations. A major concern in the design and development of these simulators is the training lesson plans for trainees with different backgrounds. The design of intelligent lesson plans that are adaptable to the varied needs of the trainees is a challenging task. In this paper, we propose an ontology based design of training, learning and evaluation agents that has been used to design intelligent training systems. This approach has proved to be very effective in modelling complex and adaptive warfare scenarios. An ontology that represents the military domain concepts, context and data is used to represent and store the knowledge-base required for intelligent training simulators and designing intelligent lesson plans. The Instructor agent assesses each trainee from the past credentials for the level of lesson plans and builds a concept- graph. This is dynamically adapted to suite the level of trainee based on the responses and bridges the gap between the expected and actual competency level.
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Rao, D.V., Shankar, R., Iliadis, L., Sarma, V.V.S. (2012). An Ontology Based Approach to Designing Adaptive Lesson Plans in Military Training Simulators. In: Jayne, C., Yue, S., Iliadis, L. (eds) Engineering Applications of Neural Networks. EANN 2012. Communications in Computer and Information Science, vol 311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32909-8_9
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DOI: https://doi.org/10.1007/978-3-642-32909-8_9
Publisher Name: Springer, Berlin, Heidelberg
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